Page 18: Need an explanation for . Page 20: : is number of node in the first layer, is number of node in the input layer. Here is my guess: Each input node must connect to at least one node in the first layer (that is ). So the first input node can choose one in [...]

Page 458: I’m not sure if I interpret the statement right but here is my guess: One of the risk function in the example should look like this: . Page 459: The cost when an is refused to decide is: . The following arguments are applied for the Algorithm 15.1: If then we will rather to fail [...]

Setting up a secure Ubuntu LAMP server has an amazing article. However, it is a little outdated: UFW: In case VPS kicks you out even though you have allowed SSH port: [How to] Configures Iptables with INPUT rules (with dynamic NBD). Apache2: You should find 000-default site instead of default. All the site configuration should be ended by [...]

To me, Backward Chaining implementation can be viewed as a state space search problem. In this problem, a state consists two components: (Path, Goals) Path is the list of ordered rules that are used. Goals is the set of facts that currently need to be deduced. An available action at a state is a applicable [...]

I had been searching for the answer to what is linear and what is non-linear, and the article on The Minitab Blog is the best in my opinion: It gives the exact definition what is a linear model / equation / function. However, I believe that the official definition of linear should be found in some [...]

This book should be read along with watching its corresponding online course. However, you should not watch the online course alone. The Bin Model PAGE NOTE Page 19: Reference: Malik Magdon-Ismail. Page 31: y here is a random variable. Reference: Malik Magdon-Ismail, The Elements of Statistical Learning page 28. Page 32: “we will assume the target to be a [...]

KNOWLEDGE REPRESENTATION http://groups.csail.mit.edu/medg/ftp/psz/k-rep.html MACHINE LEARNING Có vấn đề nào có thể giải quyết bằng Supervised Learning mà không thể giải quyết bằng Unsupervised Learning không? ANSWER. In Bias-Variance Decomposition, what if the hypothesis set is more complex than the hypothesis and the average final hypothesis is far from target function than ? It looks like [...]